US10438293B2 - Vehicle estimating system that utilizes volumetric finite element analysis to provide a predictive estimate - Google Patents
Vehicle estimating system that utilizes volumetric finite element analysis to provide a predictive estimate Download PDFInfo
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- US10438293B2 US10438293B2 US15/209,498 US201615209498A US10438293B2 US 10438293 B2 US10438293 B2 US 10438293B2 US 201615209498 A US201615209498 A US 201615209498A US 10438293 B2 US10438293 B2 US 10438293B2
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- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/08—Insurance
Definitions
- the repair costs and other information may be entered by the representative into an estimate report. After inspection the representative sends the estimate report to a home office for approval.
- Audatex provides a software product under the trademark Audatex Estimating that allows a representative to enter claim data.
- the product will display parts list that can be selected by the estimator to build an estimate to repair the vehicle.
- the software will automatically list the price of any selected part with associated labor cost. Such a manual process is time consuming and subject to human error.
- the apparatus includes an input for receiving a three-dimensional map of a damaged vehicle and memory for storing a three-dimensional map of an undamaged vehicle.
- the memory also contains a database the contains predictive estimates for a variety of previously generated volumetric deltas and previously generated penetration ratios.
- the apparatus further includes a processor that generates a volumetric delta from the three-dimensional map of the damaged vehicle and the three-dimensional map of the undamaged vehicle, generates a penetration ratio, and then provides a predictive estimate by comparing the generated volumetric delta and penetration ratio with the previously generated volumetric deltas and previously generated penetration ratios in the database.
- FIG. 2 is a schematic of an architecture for components of the system
- FIG. 3 is an illustration showing three-dimensional image data of an undamaged vehicle
- FIG. 4 is an illustration showing a volumetric delta between a damaged vehicle and an undamaged vehicle
- FIG. 5 is an illustration showing a vehicle defined by finite elements
- FIG. 6 is an illustration used for a penetration analysis includes the step of defining an axis of impact and defining a plane of the vehicle that is orthogonal to the impact axis;
- FIG. 8 is an illustration of graphical user interface that displays repair estimate of the damaged vehicle.
- the system generates the estimate by initially comparing a three-dimensional map of a damaged vehicle with a three-dimensional map of a like undamaged vehicle.
- a volumetric finite element method is employed to determine a change in the volume of the vehicle (volumetric delta) and the amount of penetration at a point of impact (penetration ratio).
- a database is searched to find estimate data associated with a like vehicle that has the same or similar volumetric delta and penetration ratio. The estimate data is then provided as a predictive estimate.
- the system 10 may further include an claim server 16 connected to the network 14 .
- the claim server 16 may provide a web based portal that provides access to a repair cost estimate.
- the web site may provide one or more web pages that can be used by a representative to generate a repair cost estimate.
- the representative may utilize the web pages to determine the estimate.
- the claim server 16 may include two or more separate servers including a web server and an application server that together perform various functions.
- the system may also include an OEM server 18 that can be coupled to the claim server 16 and clients 12 through the network 14 .
- the OEM server 18 may contain a database that includes vehicle model information and vehicle option information.
- the OEM server 18 may provide vehicle model information and vehicle options information based on a VIN.
- the system 10 may also include a camera device 20 that can be used to capture a three dimensional image of a vehicle.
- the device 20 may be a smartphone, tablet or a similar device that contains a camera, etc.
- the camera device 20 may be coupled to the client 12 .
- FIG. 2 shows an overall architecture of the client 12 , servers 16 and 18 and/or camera 20 .
- the architecture includes a processor 30 connected to one or more memory devices 32 through a bus 34 .
- the memory device 32 may include both volatile and non-volatile memory such as read only memory (ROM) or random access memory (RAM).
- the processor 30 is capable of operating software programs in accordance with instructions and data stored within the memory device 32 .
- the term computer readable medium may include the memory device 32 .
- the computer readable medium may contain software programs in binary form that can be read and manipulated by the processor 30 .
- the architecture further includes a screen 36 and a camera 38 .
- the architecture may also include input/output (I/O) to allow for communication with external sources.
- I/O input/output
- the client 12 may have I/O 40 that receives a three-dimensional image from the camera 20 .
- the servers 16 and 18 may contain relational databases that correlate data with individual data fields and a relational database management system (RDBMS).
- RDBMS of the server 16 may include a reference to a website that can be accessed by the client 12 and/or camera device 20 .
- the website has one or more specific uniform resource locators (URL) that can be used to access the site through the network 14 .
- the URL can be entered through a web-based application resident in the client computer 12 and/or device 20 .
- the web based application may be a browser.
- Servers 16 and/or 18 contain databases and algorithms that generate a predictive estimate utilizing volumetric deltas and penetration ratios.
- FIG. 3 shows various three-dimensional maps including a point cloud, a CAD file, or any other file that contains three-dimensional image data of an undamaged vehicle.
- Three-dimensional map files of various undamaged vehicle models can be stored in a database(s).
- a user can obtain a three-dimensional image of the damaged vehicle. This can be done with a three-dimensional camera.
- the three-dimensional image can be generated by mapping 2-D data from a two-dimensional image to 3-D, for example, with various point cloud techniques.
- a volumetric delta between the damaged vehicle and an undamaged vehicle can be generated using volumetric finite element analysis of the three-dimensional maps.
- the finite element analysis can be performed by decomposing the surfaces into finite elements, possibly as small as the resolution of the three-dimensional images.
- the volumes of the damaged and undamaged vehicles can be calculated from one end of the vehicle to another end.
- the difference between the volume of the damaged vehicle and the undamaged vehicle is the volumetric delta.
- FIG. 4 depicts a graphical representation of the volumetric delta between an undamaged vehicle and damaged vehicle.
- the volumetric delta reflects the surface area of the vehicle that has been damaged.
- a penetration ratio can be utilized and be defined by a maximum depth divided by the damaged surface area.
- the damaged surface area can be calculated by determining the area of finite elements of the damaged vehicle that are different from the finite elements of a undamaged vehicle. This is illustrated in FIG. 5 .
- the penetration analysis includes the step of defining an axis of impact and defining a plane of the vehicle that is orthogonal to the impact axis.
- the axis of impact can be defined by the user from a visual inspection of the vehicle.
- the distance along the axis of impact between a damaged vehicle and an undamaged vehicle can be computed using finite element analysis. The largest distance can be defined as the maximum depth.
- the penetration ratio can then be computed by dividing the maximum depth by the damaged surface.
- a database that contains historical repair estimates with corresponding volumetric deltas and penetration ratios can be generated with previous estimates for various vehicle types and models.
- the volumetric delta and penetration ratio numbers for a damaged vehicle can be compared with respective data in the database to obtain a predictive estimate.
- FIG. 7 shows an example of an claim page 100 used to create an insurance estimate.
- the claim page may include a VIN field 102 that allows a user to enter a VIN.
- the page 100 may include vehicle information fields, including but not limited to ORIGIN 104 , MAKE 106 , YEAR 108 , MODEL 110 , STYLE 112 , ENGINE 114 and TRANSMISSION 116 , exterior and interior Paint code, color, refinish type and production date fields.
- the page may further include vehicle package fields 118 and vehicle option fields 120 that can be selected and deselected to indicate the options of a vehicle. Entering the VIN may automatically populate certain fields of the page 100 .
- FIG. 8 shows a page 220 that displays predictive estimate.
- the page 220 includes fields that display part and labor costs for repairing the vehicle in field 222 .
- the process may have a feature (not shown) that provides a warning to the representative that the cost total exceeds a “totaled” value at which point the representative may discontinue the process and request a vehicle valuation.
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Claims (21)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US15/209,498 US10438293B2 (en) | 2015-07-20 | 2016-07-13 | Vehicle estimating system that utilizes volumetric finite element analysis to provide a predictive estimate |
Applications Claiming Priority (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201562194769P | 2015-07-20 | 2015-07-20 | |
| US201562198668P | 2015-07-29 | 2015-07-29 | |
| US201562198669P | 2015-07-29 | 2015-07-29 | |
| US15/209,498 US10438293B2 (en) | 2015-07-20 | 2016-07-13 | Vehicle estimating system that utilizes volumetric finite element analysis to provide a predictive estimate |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| US20170024823A1 US20170024823A1 (en) | 2017-01-26 |
| US10438293B2 true US10438293B2 (en) | 2019-10-08 |
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| US15/209,498 Active 2038-02-19 US10438293B2 (en) | 2015-07-20 | 2016-07-13 | Vehicle estimating system that utilizes volumetric finite element analysis to provide a predictive estimate |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10976262B2 (en) * | 2017-01-11 | 2021-04-13 | Autoscan Gmbh | Mobile and automated apparatus for the detection and classification of damages on the body of a vehicle |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US12394031B1 (en) * | 2021-05-10 | 2025-08-19 | United Services Automobile Association (Usaa) | Systems and methods for sensor-based detection of property damage |
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| US8571958B2 (en) * | 2008-02-15 | 2013-10-29 | Allstate Insurance Company | Real-time insurance estimate based on non-personal identifying information |
| US20140200930A1 (en) * | 2001-11-28 | 2014-07-17 | Deloitte Development Llc | Methods and Systems for Determining the Importance of Individual Variables in Statistical Models |
| US20150066349A1 (en) * | 2013-08-30 | 2015-03-05 | Elwha Llc | Systems and methods for adjusting a contour of a vehicle based on a protrusion |
| US20150106133A1 (en) * | 2013-10-15 | 2015-04-16 | Audatex North America, Inc. | Mobile system for generating a damaged vehicle insurance estimate |
| US9218626B1 (en) * | 2015-02-25 | 2015-12-22 | Ccc Information Services Inc. | Automatic prediction and recommendation of parts, materials, and services for vehicle insurance claim estimates and supplements |
| US20160071217A1 (en) * | 2014-09-05 | 2016-03-10 | Hartford Fire Insurance Company | System for claim load balancing |
| US9824453B1 (en) * | 2015-10-14 | 2017-11-21 | Allstate Insurance Company | Three dimensional image scan for vehicle |
| US9886771B1 (en) * | 2016-05-20 | 2018-02-06 | Ccc Information Services Inc. | Heat map of vehicle damage |
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| US20140200930A1 (en) * | 2001-11-28 | 2014-07-17 | Deloitte Development Llc | Methods and Systems for Determining the Importance of Individual Variables in Statistical Models |
| US20100118025A1 (en) * | 2005-04-21 | 2010-05-13 | Microsoft Corporation | Mode information displayed in a mapping application |
| US8571958B2 (en) * | 2008-02-15 | 2013-10-29 | Allstate Insurance Company | Real-time insurance estimate based on non-personal identifying information |
| US20150066349A1 (en) * | 2013-08-30 | 2015-03-05 | Elwha Llc | Systems and methods for adjusting a contour of a vehicle based on a protrusion |
| US20150106133A1 (en) * | 2013-10-15 | 2015-04-16 | Audatex North America, Inc. | Mobile system for generating a damaged vehicle insurance estimate |
| US20160071217A1 (en) * | 2014-09-05 | 2016-03-10 | Hartford Fire Insurance Company | System for claim load balancing |
| US9218626B1 (en) * | 2015-02-25 | 2015-12-22 | Ccc Information Services Inc. | Automatic prediction and recommendation of parts, materials, and services for vehicle insurance claim estimates and supplements |
| US9824453B1 (en) * | 2015-10-14 | 2017-11-21 | Allstate Insurance Company | Three dimensional image scan for vehicle |
| US9886771B1 (en) * | 2016-05-20 | 2018-02-06 | Ccc Information Services Inc. | Heat map of vehicle damage |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10976262B2 (en) * | 2017-01-11 | 2021-04-13 | Autoscan Gmbh | Mobile and automated apparatus for the detection and classification of damages on the body of a vehicle |
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| Publication number | Publication date |
|---|---|
| US20170024823A1 (en) | 2017-01-26 |
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